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Afternoon Data Analyst R Programming Jobs in West Bend, WI

Baird

Data Integration Developer

Milwaukee, WI · On-site

You'll work cross-functionally with business analysts, BI teams, and technical partners to ... Working knowledge of APIs and/or programming languages such as C# is a plus * Strong communication ...

Directsupply

Senior Supply Chain Analyst

Milwaukee, WI · On-site

$77K - $95K/yr

Advanced degree or professional certification in analytics, data science, supply chain, or a related field. * Experience with Python, R, or other statistical programming languages. * Experience ...

Pwc

Data Strategy & Governance -Director

Milwaukee, WI

$155K - $410K/yr

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

New

Pwc

Data Engineer - Senior Associate

Milwaukee, WI · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Fiserv, Inc.

Big Data Engineer, Senior

Milwaukee, WI · On-site

$55 - $72.75/hr

Perform in-depth data quality analysis, identifying and resolving anomalies, inconsistencies, and errors to maintain data integrity. Work closely with developers, analysts, and client-facing teams to ...

Pwc

Data Engineer - Manager

Milwaukee, WI · On-site

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and ...

Hammes Company

Business Analyst

Milwaukee, WI · On-site

Bachelor's degree in computer science, data science, data engineering, business analytics, management information systems, or a related field. * At least one year of relevant experience preferred ...

Posted today

Pwc

Data Engineer - Senior Manager

Milwaukee, WI

$124K - $280K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

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All JobsAfternoon Data Analyst R Programming JobsAfternoon Data Analyst R Programming Jobs in West Bend, WI

Afternoon Data Analyst R Programming information

See West Bend, WI salary details

$34.4K

$83.5K

$137.4K

How much do afternoon data analyst r programming jobs pay per year?

As of Aug 21, 2026, the average yearly pay for afternoon data analyst r programming in West Bend, WI is $83,515.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $98,000.00 per year, depending on experience, location, and employer.

What is an afternoon data analyst r programming?

An Afternoon Data Analyst specializing in R Programming is a data professional who primarily works afternoon shifts and uses the R programming language to analyze, interpret, and visualize data. Their responsibilities typically include cleaning data, performing statistical analyses, and generating reports to support business decisions. They may work across various industries, collaborating with teams to provide insights and automate data processes using R. Afternoon shifts can be ideal for organizations that operate globally or require data support outside standard business hours. Proficiency in R, statistical techniques, and data visualization tools are essential skills for this role.

What are the key skills and qualifications needed to thrive as an afternoon data analyst specializing in R programming?

To thrive as an Afternoon Data Analyst specializing in R Programming, you need a strong background in statistics, data analysis, and proficiency with R, often supported by a degree in a quantitative field. Experience with data visualization tools, R packages (like tidyverse), and familiarity with databases or version control systems (such as Git) is typically required. Critical thinking, attention to detail, and effective communication are essential soft skills for interpreting results and presenting insights to stakeholders. These skills ensure accurate data-driven decisions, efficient workflow, and the ability to translate complex data into actionable business strategies.

What are some common challenges faced by afternoon data analysts working with R programming, and how can they be addressed?

Afternoon Data Analysts using R Programming often encounter challenges such as handling large datasets efficiently, ensuring code reproducibility, and collaborating with team members across different shifts. To address these, it's helpful to utilize R packages designed for big data (like data.table or dplyr), maintain clear and well-documented scripts, and use version control systems like Git for seamless collaboration. Regular communication with team members during shift handovers and leveraging collaborative tools can also enhance workflow and reduce misunderstandings.

What is the difference between Afternoon Data Analyst R Programming vs Morning Data Analyst R Programming?

AspectAfternoon Data Analyst R ProgrammingMorning Data Analyst R Programming
Required CredentialsBachelor's in Data Science, Statistics, or related field; R programming skillsBachelor's in Data Science, Statistics, or related field; R programming skills
Work EnvironmentTypically in office settings, working during afternoon hoursOffice environment, working during morning hours
Employer & Industry UsageUsed in industries with shift-based operations like finance, healthcareCommon in similar industries, often with flexible scheduling
Search & Comparison IntentPeople comparing different shift roles or schedules in data analysisSimilar search intent focusing on shift timing differences

The main difference between Afternoon Data Analyst R Programming and Morning Data Analyst R Programming lies in their work hours. Both roles require similar skills, credentials, and are used in comparable industries. The choice depends on personal schedule preferences and employer shift structures.

What job categories do people searching Afternoon Data Analyst R Programming jobs in West Bend, WI look for?

The top searched job categories for Afternoon Data Analyst R Programming jobs in West Bend, WI are:

What cities near West Bend, WI are hiring for Afternoon Data Analyst R Programming jobs?

Cities near West Bend, WI with the most Afternoon Data Analyst R Programming job openings:

Afternoon Data Analyst R Programming jobs near you
Infographic showing various Afternoon Data Analyst R Programming job openings in West Bend, WI as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $83,515 per year, or $40.2 per hour.

Data Integration Developer

Baird

Milwaukee, WI • On-site

Full-time

Re-posted 13 days ago

Baird rating

8.5

Company rating: 8.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

Job description

About the Role:
Are you energized by transforming complex business data into reliable, scalable solutions that power critical decisions? Do you enjoy designing and building robust data integration pipelines while collaborating closely with both technical and business partners? Are you looking to grow your expertise in modern data integration, data architecture, and evolving data platforms within a highly collaborative environment?
As Baird continues to invest in data as a strategic asset, we are expanding our IT Data Integration team and seeking a Data Integration Developer to help build and support high-quality data solutions across the firm. In this role, you will play an important part in developing and delivering data integration processes that enable business intelligence, analytics, and operational reporting.
This opportunity is ideal for a motivated data professional who thrives in an agile environment, enjoys solving complex data challenges, and takes pride in delivering solutions that drive measurable business impact. You'll work cross-functionally with business analysts, BI teams, and technical partners to translate data needs into scalable solutions, while continuously building your technical and business knowledge.
This position is hybrid, offering a combination of 2 day/week remote work and 3 days/week in our collaborative downtown Milwaukee workspace. At Baird, you'll find a supportive culture centered on teamwork, continuous learning, and making a meaningful impact through data.
The Impact You'll Make:
Development & Data Integration Delivery:
  • Build and support data integration solutions using a variety of tools, technologies, and frameworks
  • Design and contribute to data architecture specifications for data integration and data storage solutions
  • Perform data analysis, mapping, and transformation to support accurate and efficient data movement
  • Develop, test, and maintain ETL/ELT processes that ensure data integrity and reliability
  • Provide full lifecycle support of data integration solutions from implementation through ongoing optimization
  • Create and execute test plans to validate solution functionality, data accuracy, and performance
  • Identify data quality issues and proactively manage risk by raising awareness and driving resolution
  • Prepare and maintain technical documentation to support transparency, scalability, and long-term support

Collaboration & Business Partnership:
  • Partner with business units to define data and information requirements and translate them into scalable solutions
  • Work closely with business analysts and BI teams to align technical solutions with business goals
  • Perform data discovery and analysis to clarify requirements and improve solution design
  • Collaborate with team members to translate functional requirements into technical specifications
  • Proactively identify risks, dependencies, and delivery challenges and communicate with stakeholders
  • Support business users by understanding how data is accessed and used, and help improve overall data usability
  • Contribute to solutions that enable the business to leverage data and BI capabilities for competitive advantage

Learning & Continuous Improvement:
  • Stay current with emerging technologies, tools, and best practices in data integration and engineering
  • Seek out opportunities to enhance skills through training, industry engagement, and hands-on experience
  • Contribute to a culture of continuous improvement, automation, and knowledge sharing within the team
  • Identify opportunities to streamline processes, reduce manual effort, and improve data delivery efficiency

What You'll Bring to Baird:
  • 3-5 years of experience in data integration, data engineering, or business intelligence within a complex environment
  • Strong experience with data integration concepts such as ETL/ELT, data warehousing, and event-based processing
  • Hands-on experience with data integration tools such as SSIS or similar platforms
  • Experience with databases and platforms such as SQL Server, Snowflake, Azure SQL Database, and Azure Data Lake and strong proficiency in SQL/T-SQL
  • Experience with data integration tools such as SSIS, Fivetran, dbt, Azure Data Factory, or similar technologies
  • Experience in data analysis, data mapping, data profiling, and data quality practices
  • Understanding of relational (3NF) and dimensional data modeling concepts
  • Experience building and loading structured data sets aligned to business requirements
  • Familiarity with processing and integrating various data formats including flat files, CSV, JSON, XML, APIs, and message queues
  • Exposure to BI tools such as Power BI, Alteryx, SSRS, or SSAS
  • Working knowledge of APIs and/or programming languages such as C# is a plus
  • Strong communication skills with the ability to collaborate effectively across technical and business teams
  • Analytical mindset with a willingness to dive into data to troubleshoot and resolve issues
  • Creative problem-solving skills with a focus on automation and process improvement
  • Self-motivated and adaptable, with the ability to manage priorities in an agile environment
  • Experience working in a regulated or data-sensitive environment is preferred
  • Bachelor's degree in Computer Science, MIS, Business Administration, Finance, or equivalent experience

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